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Evaluation of the weather generator CLIGEN with daily precipitation characteristics in Korea
Authors:Young-Mi Min  Vladimir N Kryjov  Kyong-Hee An  Saji N Hameed  Soo-Jin Sohn  Woo-Jin Lee  Jai-Ho Oh
Institution:1. APEC Climate Center, Busan, Korea
5. Pukyong National University, Busan, Korea
6. APEC Climate Center, 1463 U-dong, Haeundae-gu, Busan, 612-020, Korea
2. Hydrometeorological Research Center, Moscow, Russia
3. University of Aizu, Aizu, Japan
4. Korea Meteorological Administration, Seoul, Korea
Abstract:The ability of the CLImate GENerator (CLIGEN) weather generator to reproduce daily precipitation characteristics for Korea was assessed on the basis of 55-year long historical daily precipitation records from eight weather stations (Seoul, Incheon, Daegu, Ulsan, Gwangju, Busan, Kangneung, and Jeonju) representing different parts of the Korean peninsula. The basic statistics of daily precipitation (mean, standard deviation, skewness of daily precipitation, number of rainy days, and the lengths of wet/dry period), probability distribution characteristics of daily precipitation (percentiles and maximum value), and the spatial covariance statistic generated by CLIGEN were compared with those derived from the observed weather series. Significance tests were conducted on the difference between the historical and generated statistics with the 1% significance level. The results show that CLIGEN simulates most of the daily precipitation characteristics satisfactorily with a tendency to slightly underestimate the mean and variability of daily precipitation. Especially, the number of rainy days is perfectly reproduced with mean relative error of 0.4% across all the stations. It is also found that the spatial covariance statistic from eight different stations is well reproduced by CLIGEN with respect to the leading EOF mode of summer season daily precipitation.
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